Multilingual E5 Small is part of the E5 family of text embedding models. This small variant contains 12 layers. This model is well-suited for tasks such as:
- Semantic Search: Finding documents or text passages that are semantically relevant to a query.
- Text Clustering: Grouping similar pieces of text based on their semantic meaning.
- Informative Response Generation: Following instructions to provide summaries, explanations, or answers to factual queries.
View model card in Model Garden
| Model ID | multilingual-e5-small-maas |
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| Launch stage | GA | |
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| Output dimensions | Up to 384 | |
| Number of layers | 12 | |
| Max sequence length | 512 tokens | |
| Supported languages | See Supported languages. | |
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ML processing |
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us-central1:
europe-west4:
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